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Publicaciones del Canal
📑 Explainable AI for Graph-Based Learning: A Survey Beyond Graph Neural Networks 🗓 Publish year: 2026 🧑‍💻Authors: Margari
📑 Explainable AI for Graph-Based Learning: A Survey Beyond Graph Neural Networks 🗓 Publish year: 2026 🧑‍💻Authors: Margarita Bugueño, Russa Biswas, Gerard de Melo 🏢Universities: Hasso Plattner Institute (HPI) / University of Potsdam, Germany - Aalborg University, Denmark 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #explainable #ai #gnn

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📃 Multilayer public transport networks 🗓 Publish year: 2026 🧑‍💻 Authors: Tina Šfiligoj, Renzo Massobrio, Oded Cats 🏢 Uni
📃 Multilayer public transport networks 🗓 Publish year: 2026 🧑‍💻 Authors: Tina Šfiligoj, Renzo Massobrio, Oded Cats 🏢 Universities: University of Ljubljana, Slovenia — University of Antwerp, Belgium — Delft University of Technology, The Netherlands 🔍 Highlights: A structured review of multilayer network approaches in public transportation, including network modelling, resilience analysis, service planning, and a proposed taxonomy and research agenda for future research. 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #multilayer #transportation
300
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📚 Network model selection: A review of methods 🏛Publisher: Springer Nature — SpringerBriefs 🗓 Publication year: 2026 🧑‍💻
📚 Network model selection: A review of methods 🏛Publisher: Springer Nature — SpringerBriefs 🗓 Publication year: 2026 🧑‍💻Author: Zoran Levnajić 🏢Affiliation: Faculty of Information Studies in Novo mesto, Slovenia 🔍 This review provides a systematic overview of methods for selecting the network model that best explains a given complex network. It categorizes existing approaches, discusses their principles and software availability, and highlights future directions in network model selection. 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #analysis #model
402
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📄 A Primer on Bayesian Neural Networks: Review and Debates 📙 Journal: Statistical Science (Impact Factor: 2.32) 🗓 Publish+1
📄 A Primer on Bayesian Neural Networks: Review and Debates 📙 Journal: Statistical Science (Impact Factor: 2.32) 🗓 Publish year: 2026 🧑‍💻Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, ... 🏢Universities: Centre Inria de l’Universit´e Grenoble Alpes & Criteo AI Lab, France - Helmholtz AI, Munich, Gremany 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #bayesian #neural_network
445
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📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery 📗 Briefings in
📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery 📗 Briefings in Bioinformatics (Impact Factor: 7.3, Q1) 🗓 2026 🧑‍💻 Thanh Nguyen , Hien Minh To , Duy Anh Nguyen ,... 🏢 Nanyang Biologics, Singapore 📎 Study the paper ⚡️ @ComplexNetworkAnalysis #review #drug_target #bipartite
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📹 Graph Theory Workshop 🎞 Watch ⚡️ @ComplexNetworkAnalysis #video #graph
515
7
📄 Graph Contrastive Learning: A Comprehensive Review of Methodologies, Applications, and Future Directions 📕 IEEE Access (I
📄 Graph Contrastive Learning: A Comprehensive Review of Methodologies, Applications, and Future Directions 📕 IEEE Access (Impact Factor: 4.2, Q2) 🗓 2026 🧑‍💻 Nazmul Hossain, Abdullah Al Thaki, Md. Mamun-Or-Rashid, Md. Mosaddek Khan 🏢 University of Dhaka, Bangladesh 📎 Study the paper ⚡️ @ComplexNetworkAnalysis #review #ContrastiveLearning #GNN #SelfSupervisedLearning #GraphNeuralNetworks #RepresentationLearning #MachineLearning
536
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📹 Graph Engineering 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #graph_engineering
566
9
📃 Introduction to Graph Neural Networks for Machine Learning Engineers 📘 Journal: IEEE Access (I.F.=3.6) 🗓 Publish year: 2
📃 Introduction to Graph Neural Networks for Machine Learning Engineers 📘 Journal: IEEE Access (I.F.=3.6) 🗓 Publish year: 2026 🧑‍💻Authors: James Tanis, Chris Giannella, Adrian Mariano, ... 🏢Universities: The MITRE Corporation - National Cancer Institute Shady Grove Campus, United States 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #graph_neural_network #machine_learning
502
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📄 Graph Neural Networks Applications Across Domains: All Insights You Need 📕 Journal: arXiv preprint (not yet peer-reviewed+4
📄 Graph Neural Networks Applications Across Domains: All Insights You Need 📕 Journal: arXiv preprint (not yet peer-reviewed) 🗓 Publish year: 2026 🧑‍💻Authors: Abderaouf Bahi 🏢University: Chadli Bendjedid University of El Tarf, Algeria 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #GNN #GraphNeuralNetworks #Survey
629
11
📑 A review on the use of complex networks in science education research 🗓 Publish year: 2026 🧑‍💻Authors: Paula Tuz´on, Ju
📑 A review on the use of complex networks in science education research 🗓 Publish year: 2026 🧑‍💻Authors: Paula Tuz´on, Juan Garc´ıa-Castillo, and Juan Fern´andez-Gracia 🏢University: Universidad de Valencia, Spain 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #science #education
624
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📄 Time-Dependent Graph Generation: A Survey 🗓 Publish year: 2026 🧑‍💻Authors: Quang Nguyen, Muhammad Farhan, Asiri Wijesin
📄 Time-Dependent Graph Generation: A Survey 🗓 Publish year: 2026 🧑‍💻Authors: Quang Nguyen, Muhammad Farhan, Asiri Wijesinghe 🏢University: The Australian National University, Australia 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #graph_generation #time
633
13
📃 Graph Representation Learning in Complex Networks: Recent Advances and Open Challenges 📓 Journal: Journal of Artificial I
📃 Graph Representation Learning in Complex Networks: Recent Advances and Open Challenges 📓 Journal: Journal of Artificial Intelligence for Automation 🗓 Publish year: 2026 🧑‍💻Authors: Yue Yang, Dongxu Li, Ziwen Cui, ... 🏢University: Chinese Academy of Sciences & University of Chinese Academy of Sciences & Xinjiang Normal University, China 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #graph_representation
658
14
📑 Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey 📗 Journal: Biomolecules (I.F.=4.8) 🗓Publish year: 20
📑 Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey 📗 Journal: Biomolecules (I.F.=4.8) 🗓Publish year: 2026 🧑‍💻Authors: Chengcheng Sun, Jiayun Tian, Cheng Zhai, ... 🏢Universities: China University of Mining and Technology, China - University of Illinois at Chicago, United States 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #knowledge_graph #gnn
691
15
📃 Temporal network analysis in systems biology: concepts, inference, and validation 📕 Journal: Frontiers in Bioinformatics
📃 Temporal network analysis in systems biology: concepts, inference, and validation 📕 Journal: Frontiers in Bioinformatics (I.F.=3.6) 🗓Publish year: 2026 🧑‍💻Authors: Abir Khazaal, Fatemeh Vafaee 🏢University: University of New South Wales, Sydney, Australia 📎 Study the paper 📲Channel: @Bioinformatics #review #temporal #systems_biology
616
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📄 A Survey of Large Language Models for Data Challenges in Graphs 📕 Journal: Expert Systems with Applications (I.F.=7.5) 🗓
📄 A Survey of Large Language Models for Data Challenges in Graphs 📕 Journal: Expert Systems with Applications (I.F.=7.5) 🗓Publish year: 2026 🧑‍💻Authors: Mengran Li, Pengyu Zhang, Wenbin Xing, ... 🏢University: Shenzhen Campus of Sun Yat-sen University & Chang’an University, China - University of Amsterdam, Amsterdam, Netherlands - Aarhus University, Denmark 📎 Study the paper 📲Channel: @Bioinformatics #review #llm
559
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📹 Real-World Network Analysis: From Theory to Practice 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #example
541
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📖 A Survey of Graph-Based Frameworks (Representing Higher-Order Networks) 💥Free Book 🗓Publish year: 2026 🧑‍💻Authors: Tak
📖 A Survey of Graph-Based Frameworks (Representing Higher-Order Networks) 💥Free Book 🗓Publish year: 2026 🧑‍💻Authors: Takaaki Fujita and Florentin Smarandache 🏢University: University of New Mexico, USA 🌐 Study ⚡️Channel: @ComplexNetworkAnalysis #book #framework #graph
613
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📃 Multilayer network science: theory, methods, and applications 📔 Journal: Journal of Complex Networks (I.F.=1.5) 🗓 Publis
📃 Multilayer network science: theory, methods, and applications 📔 Journal: Journal of Complex Networks (I.F.=1.5) 🗓 Publish year: 2026 🧑‍💻Authors: Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda, ... (17 Authors) 🏢University: University of Zaragoza, Spain - Northeastern University London & Northeastern University, United Kingdom & United States - Universidade de Lisboa, Portugal, University of Campinas, Brazil, Aix-Marseille University, France, Institute for Scientific Interchange (ISI), Italy 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #multilayer
576
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📑 Multilayer Networks in Finance: A Systematic Review 🗓 Publish year: 2026 🧑‍💻Authors: J Scattergood & T Oléron-Evans 🏢U
📑 Multilayer Networks in Finance: A Systematic Review 🗓 Publish year: 2026 🧑‍💻Authors: J Scattergood & T Oléron-Evans 🏢University: University College London, England 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #multi_layer #finance
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